From jeffreback at gmail.com Sat Nov 21 08:43:52 2015 From: jeffreback at gmail.com (Jeff Reback) Date: Sat, 21 Nov 2015 08:43:52 -0500 Subject: [Pandas-dev] ANN: pandas v0.17.1 Released Message-ID: Hi, We are proud to announce that *pandas* has become a sponsored project of the NUMFocus organization This will help ensure the success of development of *pandas* as a world-class open-source project. This is a minor bug-fix release from 0.17.0 and includes a large number of bug fixes along several new features, enhancements, and performance improvements. We recommend that all users upgrade to this version. This was a release of 5 weeks with 176 commits by 61 authors encompassing 84 issues and 128 pull-requests. *What is it:* *pandas* is a Python package providing fast, flexible, and expressive data structures designed to make working with ?relational? or ?labeled? data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. *Highlights*: - Support for Conditional HTML Formatting, see here - Releasing the GIL on the csv reader & other ops, see here - Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing incorrect results on integer values see Issue 11376 See the Whatsnew for much more information and the full Documentation link. *How to get it:* Source tarballs, windows wheels, and macosx wheels are available on PyPI Installation via conda is: - conda install pandas windows wheels are courtesy of Christoph Gohlke and are built on Numpy 1.9 macosx wheels are courtesy of Matthew Brett *Issues:* Please report any issues on our issue tracker : Jeff *Thanks to all of the contributors* * - Aleksandr Drozd - Alex Chase - Anthonios Partheniou - BrenBarn - Brian J. McGuirk - Chris - Christian Berendt - Christian Perez - Cody Piersall - Data & Code Expert Experimenting with Code on Data - DrIrv - Evan Wright - Guillaume Gay - Hamed Saljooghinejad - Iblis Lin - Jake VanderPlas - Jan Schulz - Jean-Mathieu Deschenes - Jeff Reback - Jimmy Callin - Joris Van den Bossche - K.-Michael Aye - Ka Wo Chen - Lo?c S?guin-C - Luo Yicheng - Magnus J?ud - Manuel Leonhardt - Matthew Gilbert - Maximilian Roos - Michael - Nicholas Stahl - Nicolas Bonnotte - Pastafarianist - Petra Chong - Phil Schaf - Philipp A - Rob deCarvalho - Roman Khomenko - R?my L?one - Sebastian Bank - Thierry Moisan - Tom Augspurger - Tux1 - Varun - Wieland Hoffmann - Winterflower - Yoav Ram - Younggun Kim - Zeke - ajcr - azuranski - behzad nouri - cel4 - emilydolson - hironow - lexual - llllllllll - rockg - silentquasar - sinhrks - taeold * -------------- next part -------------- An HTML attachment was scrubbed... URL: From brad.reisfeld at gmail.com Sat Nov 21 09:39:42 2015 From: brad.reisfeld at gmail.com (Brad Reisfeld) Date: Sat, 21 Nov 2015 14:39:42 -0000 Subject: [Pandas-dev] ANN: pandas v0.17.1 Released In-Reply-To: References: Message-ID: <10c8bcba-8046-432d-a135-299597052898@googlegroups.com> To Jeff and all of the contributors, Thank you for your hard and dedicated work on pandas! It is an awesome package that gets better with every release. -Brad On Saturday, November 21, 2015 at 6:44:02 AM UTC-7, Jeff wrote: > > Hi, > > We are proud to announce that *pandas* has become a sponsored project of > the NUMFocus organization > > - private > > This will help ensure the success of development of *pandas* as a > world-class open-source project. > > This is a minor bug-fix release from 0.17.0 and includes a large number of > bug fixes along several new features, enhancements, and performance > improvements. > We recommend that all users upgrade to this version. > > This was a release of 5 weeks with 176 commits by 61 authors encompassing > 84 issues and 128 pull-requests. > > > *What is it:* > > *pandas* is a Python package providing fast, flexible, and expressive data > structures designed to make working with ?relational? or ?labeled? data > both > easy and intuitive. It aims to be the fundamental high-level building > block for > doing practical, real world data analysis in Python. Additionally, it has > the > broader goal of becoming the most powerful and flexible open source data > analysis / manipulation tool available in any language. > > *Highlights*: > > > - Support for Conditional HTML Formatting, see here > > - private > > - Releasing the GIL on the csv reader & other ops, see here > > - private > > - Fixed regression in DataFrame.drop_duplicates from 0.16.2, causing > incorrect results on integer values see Issue 11376 > > > See the Whatsnew > - > private > for > much more information and the full Documentation > - private > link. > > *How to get it:* > > Source tarballs, windows wheels, and macosx wheels are available on PyPI > - private > > > Installation via conda is: > > - conda install pandas > > windows wheels are courtesy of Christoph Gohlke and are built on Numpy > 1.9 > macosx wheels are courtesy of Matthew Brett > > *Issues:* > > Please report any issues on our issue tracker > - private > : > > Jeff > > *Thanks to all of the contributors* > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > * - Aleksandr Drozd - Alex Chase - Anthonios Partheniou - BrenBarn - Brian > J. McGuirk - Chris - Christian Berendt - Christian Perez - Cody Piersall - > Data & Code Expert Experimenting with Code on Data - DrIrv - Evan Wright - > Guillaume Gay - Hamed Saljooghinejad - Iblis Lin - Jake VanderPlas - Jan > Schulz - Jean-Mathieu Deschenes - Jeff Reback - Jimmy Callin - Joris Van > den Bossche - K.-Michael Aye - Ka Wo Chen - Lo?c S?guin-C - Luo Yicheng - > Magnus J?ud - Manuel Leonhardt - Matthew Gilbert - Maximilian Roos - > Michael - Nicholas Stahl - Nicolas Bonnotte - Pastafarianist - Petra Chong > - Phil Schaf - Philipp A - Rob deCarvalho - Roman Khomenko - R?my L?one - > Sebastian Bank - Thierry Moisan - Tom Augspurger - Tux1 - Varun - Wieland > Hoffmann - Winterflower - Yoav Ram - Younggun Kim - Zeke - ajcr - azuranski > - behzad nouri - cel4 - emilydolson - hironow - lexual - llllllllll - rockg > - silentquasar - sinhrks - taeold * > > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at davidstephens.io Fri Nov 27 23:53:12 2015 From: david at davidstephens.io (David Stephens) Date: Sat, 28 Nov 2015 04:53:12 -0000 Subject: [Pandas-dev] ANN: pandas-datareader v0.2.1 released In-Reply-To: References: Message-ID: I'm happy to announce v0.2.1 of pandas-datareader. This is a minor release from v0.2.0 and includes new features and bug fixes. *What is it:* *pandas-datareader* is a Python package that provides remote data access to financial data. *pandas-datareader* replaces pandas.io.data and pandas.io.wb in pandas versions v0.17.0+. *How to get it:* Install via pip pip install pandas-datareader *How to use it:* from pandas.io import data, wb # becomes from pandas_datareader import data, wb More information available in the documentation here . *Release highlights include:* *New features* - DataReader now supports Eurostat data sources, see here (GH101 ). - Options downloading is approximately 4x faster as a result of a rewrite of the parsing function. - DataReader and Options now support caching, see here ( GH110 ),(GH116 ),(GH121 ), (GH122 ) *Backwards incompatible API changes* - Options columns PctChg and IV (Implied Volatility) are now type float rather than string. *Issues:* Please report any issues on our issue tracker . Thanks to all who made this release happen. Dave *Thanks to all of the contributors:* - bashtage - davidastephens - femtotrader - hayd - jreback - sinhrks -------------- next part -------------- An HTML attachment was scrubbed... URL: